Sr. Machine Learning Engineer

Mr. Cooper Group Inc.; Lewisville (TX); Remote; USD 90,000 - 150,000; Full time

Job summary

An innovative real estate services company is seeking a skilled Machine Learning Engineer to join their dynamic team. This role focuses on developing robust ML models and MLOps pipelines, utilizing cutting-edge technologies like TensorFlow and Azure. You'll collaborate with cross-functional teams, mentor junior data scientists, and contribute to impactful projects that simplify the mortgage process. Remote work is permitted, allowing you to thrive in a flexible environment. If you are passionate about leveraging AI to enhance the housing industry and have a strong background in data science, this opportunity is perfect for you.

Qualifications

• 5+ years of experience in Machine Learning and data science roles.
• Proficiency in SQL and Python for data manipulation and analysis.

Responsibilities

• Develop and implement Machine Learning models and MLOps pipelines.
• Conduct statistical analysis and feature distribution analysis.

Skills

Machine Learning

SQL

Python

NLP

Data Visualization

Deep Learning

MLOps

Agile/Scrum

Education

Bachelor’s degree in Computer Science

Master’s degree in Data Science

Tools

TensorFlow

PyTorch

Azure Data Factory

Docker

Git

DataBricks

MLFlow

Kubernetes

Job description

WHO WE ARE

We are Xome, a real estate services company headquartered in the Dallas, Texas area. As a subsidiary of Mr. Cooper Group, we employ over 1,200 team members nationwide. The nation’s largest financial services companies look to us for integrated and scalable business solutions that help simplify the mortgage and real estate process.

At the heart of everything we do is our purpose: To keep the dream of home ownership alive. If that sounds like a big, lofty goal, that’s because it really is. And we can’t do it alone. Our entire team is focused on helping create a stable and healthy housing industry. And, making sure the process of buying/selling a home doesn’t undermine the excitement of home ownership. That’s why we battle every day against the mediocrity of the status quo to simplify the complex world of mortgage servicing, lending and banking. We see ourselves as the experts who make doing business easier. While others bring complexity and a lack of transparency, we offer simplicity, trust, and visibility across the entire property lifecycle. And we deliver radical customer service.

Now, you might be wondering; how exactly do you pronounce Xome? Simple. ZOM (like home, if it started with a z)!

DUTIES:

Write efficient and robust queries to extract, modify, and prepare data for pre-processing from various datasets using SQL Servers, Databricks, Azure Data Factory, and other cloud vendors. Develop, train, and re-train Machine Learning models such as Genetic Algorithms, Neural Networks, Linear Regression, and Gradient Boosting using frameworks like TensorFlow, PyTorch, Keras, and Sci-Kit Learn. Design and implement scalable programs, debug, and deploy them.

Conduct statistical analysis and feature distribution analysis on domain-specific datasets to generate insights for ML models. Design and implement MLOps architecture, CI/CD pipelines with tools like MLFlow, Docker, and asset bundles. Review literature in AVM/Real Estate and ML/AI domains to inform model and solution design. Develop NLP pipelines involving NER and other elements. Design and implement Large Language Models (LLMs) and Generative AI solutions.

Review ML models' design and implementation, mentor junior data scientists, and collaborate with cross-functional teams on ML/AI initiatives. Remote work is permitted.

REQUIREMENTS:

• Bachelor’s degree in Computer Science, Data Science, or related field and five (5) years of experience in a similar role.

Special Skills:

• Experience with ML tools like TensorFlow, PyTorch, Caffe, Theano; solving real-world problems.
• Proficiency in NLP, including text processing, information retrieval, NER.
• Experience with deep learning models, Python libraries (scikit-learn, NumPy, Pandas, OpenCV), and data visualization.
• Building MLOps pipelines with DataBricks, DVC, Kubeflow, Airflow, or Vertex AI.
• Designing automation pipelines for ML platform operations.
• Experience with low-code and AutoML libraries like PyCaret and AutoKeras.
• Knowledge of Azure cloud technologies and cloud-native development (Docker, Kubernetes, DevOps).
• Experience with AI products such as Azure ML, SageMaker, DataBricks, AutoML.
• Proficiency in programming languages like Python or Java, and working with RESTful Web Services.
• Version control experience with Git and knowledge of SQL/NoSQL databases.
• Familiarity with Agile/Scrum methodologies.

We are committed to diversity and inclusion, fostering an environment where every employee can thrive and contribute to our success.

Job Requisition ID: 023862

Category: Information Technology

Location: Lewisville, Texas, 75067, United States of America